Uniform boundedness principle

In mathematics, the uniform boundedness principle or Banach–Steinhaus theorem is one of the fundamental results in functional analysis. Together with the Hahn–Banach theorem and the open mapping theorem, it is considered one of the cornerstones of the field. In its basic form, it asserts that for a family of continuous linear operators (and thus bounded operators) whose domain is a Banach space, pointwise boundedness is equivalent to uniform boundedness in operator norm.

The theorem was first published in 1927 by Stefan Banach and Hugo Steinhaus, but it was also proven independently by Hans Hahn.

Theorem

Uniform Boundedness Principle  Let X be a Banach space and Y a normed vector space. Suppose that F is a collection of continuous linear operators from X to Y. If

for all xX, then

The completeness of X enables the following short proof, using the Baire category theorem.

Proof

Let X be a Banach space. Suppose that for every xX,

For every integer , let

Each set is a closed set and by the assumption,

By the Baire category theorem for the non-empty complete metric space X, there exists some m such that has non-empty interior; that is, there exist and ε > 0 such that

Let uX with ǁuǁ ≤ 1 and TF. One has that:

Taking the supremum over u in the unit ball of X and over TF it follows that

There are also simple proofs not using the Baire theorem (Sokal 2011).

Corollaries

Corollary  If a sequence of bounded operators (Tn) converges pointwise, that is, the limit of { Tn(x) } exists for all xX, then these pointwise limits define a bounded operator T.

The above corollary does not claim that Tn converges to T in operator norm, i.e. uniformly on bounded sets. However, since { Tn } is bounded in operator norm, and the limit operator T is continuous, a standard "3-ε" estimate shows that Tn converges to T uniformly on compact sets.

Corollary  Any weakly bounded subset S in a normed space Y is bounded.

Indeed, the elements of S define a pointwise bounded family of continuous linear forms on the Banach space X = Y*, continuous dual of Y. By the uniform boundedness principle, the norms of elements of S, as functionals on X, that is, norms in the second dual Y**, are bounded. But for every sS, the norm in the second dual coincides with the norm in Y, by a consequence of the Hahn–Banach theorem.

Let L(X, Y) denote the continuous operators from X to Y, with the operator norm. If the collection F is unbounded in L(X, Y), then by the uniform boundedness principle, we have:

In fact, R is dense in X. The complement of R in X is the countable union of closed sets Xn. By the argument used in proving the theorem, each Xn is nowhere dense, i.e. the subset Xn is of first category. Therefore R is the complement of a subset of first category in a Baire space. By definition of a Baire space, such sets (called residual sets) are dense. Such reasoning leads to the principle of condensation of singularities, which can be formulated as follows:

Theorem  Let X be a Banach space, { Yn } a sequence of normed vector spaces, and Fn an unbounded family in L(X, Yn). Then the set

is a residual set, and thus dense in X.

Proof

The complement of R is the countable union

of sets of first category. Therefore, its residual set R is dense.

Example: pointwise convergence of Fourier series

Let be the circle, and let be the Banach space of continuous functions on with the uniform norm. Using the uniform boundedness principle, one can show that there exists an element in for which the Fourier series does not converge pointwise.

For its Fourier series is defined by

and the N-th symmetric partial sum is

where DN is the N-th Dirichlet kernel. Fix and consider the convergence of {SN(f)(x)}. The functional defined by

is bounded. The norm of φN,x, in the dual of , is the norm of the signed measure (2π)−1DN(xt) dt, namely

One can verify that

So the collection { φN,x } is unbounded in the dual of Therefore, by the uniform boundedness principle, for any the set of continuous functions whose Fourier series diverges at x is dense in

More can be concluded by applying the principle of condensation of singularities. Let { xm } be a dense sequence in Define φN,xm in the similar way as above. The principle of condensation of singularities then says that the set of continuous functions whose Fourier series diverges at each xm is dense in (however, the Fourier series of a continuous function f converges to f(x) for almost every , by Carleson's theorem).

Generalisations

The least restrictive setting for the uniform boundedness principle is a barrelled space where the following generalized version of the theorem holds (Bourbaki 1987, Theorem III.2.1):

Theorem  Given a barrelled space X and a locally convex space Y, then any family of pointwise bounded continuous linear mappings from X to Y is equicontinuous (even uniformly equicontinuous).

Alternatively, the statement also holds whenever X is a Baire space and Y is a locally convex space.[1]

Dieudonné (1970) proves a weaker form of this theorem with Fréchet spaces rather than the usual Banach spaces. Specifically,

Theorem  Let X be a Fréchet space, Y a normed space, and H a set of continuous linear mappings of X into Y. If for every xX,

then the family H is equicontinuous.

See also

  • Barrelled space  A topological vector space with near minimum requirements for the Banach–Steinhaus theorem to hold.
  • Ursescu theorem  A theorem that simultaneously generalizes the closed graph, open mapping, and Banach–Steinhaus theorems.

Citations

Bibliography

  • Banach, Stefan; Steinhaus, Hugo (1927), "Sur le principe de la condensation de singularités" (PDF), Fundamenta Mathematicae, 9: 50–61, doi:10.4064/fm-9-1-50-61. (in French)
  • Banach, Stefan (1932). Théorie des Opérations Linéaires [Theory of Linear Operations] (PDF). Monografie Matematyczne (in French). 1. Warszawa: Subwencji Funduszu Kultury Narodowej. Zbl 0005.20901. Archived from the original (PDF) on 2014-01-11. Retrieved 2020-07-11.
  • Bourbaki, Nicolas (1987) [1981]. Sur certains espaces vectoriels topologiques [Topological Vector Spaces: Chapters 1–5]. Annales de l'Institut Fourier. Éléments de mathématique. 2. Translated by Eggleston, H.G.; Madan, S. Berlin New York: Springer-Verlag. ISBN 978-3-540-42338-6. OCLC 17499190.
  • Dieudonné, Jean (1970), Treatise on analysis, Volume 2, Academic Press.
  • Husain, Taqdir; Khaleelulla, S. M. (1978). Barrelledness in Topological and Ordered Vector Spaces. Lecture Notes in Mathematics. 692. Berlin, New York, Heidelberg: Springer-Verlag. ISBN 978-3-540-09096-0. OCLC 4493665.
  • Khaleelulla, S. M. (1982). Counterexamples in Topological Vector Spaces. Lecture Notes in Mathematics. 936. Berlin, Heidelberg, New York: Springer-Verlag. ISBN 978-3-540-11565-6. OCLC 8588370.
  • Narici, Lawrence; Beckenstein, Edward (2011). Topological Vector Spaces. Pure and applied mathematics (Second ed.). Boca Raton, FL: CRC Press. ISBN 978-1584888666. OCLC 144216834.
  • Rudin, Walter (1966), Real and complex analysis, McGraw-Hill.
  • Rudin, Walter (1991). Functional Analysis. International Series in Pure and Applied Mathematics. 8 (Second ed.). New York, NY: McGraw-Hill Science/Engineering/Math. ISBN 978-0-07-054236-5. OCLC 21163277.
  • Schaefer, Helmut H.; Wolff, Manfred P. (1999). Topological Vector Spaces. GTM. 8 (Second ed.). New York, NY: Springer New York Imprint Springer. ISBN 978-1-4612-7155-0. OCLC 840278135.
  • Schechter, Eric (1996). Handbook of Analysis and Its Foundations. San Diego, CA: Academic Press. ISBN 978-0-12-622760-4. OCLC 175294365.
  • Shtern, A.I. (2001) [1994], "Uniform boundedness principle", Encyclopedia of Mathematics, EMS Press.
  • Sokal, Alan (2011), "A really simple elementary proof of the uniform boundedness theorem", Amer. Math. Monthly, 118 (5): 450–452, arXiv:1005.1585, doi:10.4169/amer.math.monthly.118.05.450, S2CID 41853641.
  • Trèves, François (2006) [1967]. Topological Vector Spaces, Distributions and Kernels. Mineola, N.Y.: Dover Publications. ISBN 978-0-486-45352-1. OCLC 853623322.
  • Wilansky, Albert (2013). Modern Methods in Topological Vector Spaces. Mineola, New York: Dover Publications, Inc. ISBN 978-0-486-49353-4. OCLC 849801114.
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